DEEP LEARNING BASED AUTOMATED OPTICAL COHERENCE TOMOGRAPHY ANALYSIS: A NOVEL TOOL FOR IDENTIFICATION OF CORONARY ARTERY LIPID PLAQUES AND QUANTIFICATION OF FIBROUS CAP THICKNESS

Abstract

Open access

Peer reviewed

Zhi Chen, Honghai Zhang, Andreas Wahle, Vincent Woo, Nicholas Kassis, Tomas Kovarnik, Milan Sonka and John J. Lopez

Journal of the American College of Cardiology, Vol.81(8 Suppl.), pp.826-826

03/07/2023

DOI: 10.1016/S0735-1097(23)01270-6

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Title: Subtitle: DEEP LEARNING BASED AUTOMATED OPTICAL COHERENCE TOMOGRAPHY ANALYSIS: A NOVEL TOOL FOR IDENTIFICATION OF CORONARY ARTERY LIPID PLAQUES AND QUANTIFICATION OF FIBROUS CAP THICKNESS
Creators: Zhi Chen
Honghai Zhang
Andreas Wahle
Vincent Woo
Nicholas Kassis
Tomas Kovarnik
Milan Sonka
John J. Lopez
Resource Type: Abstract
Publication Details: Journal of the American College of Cardiology, Vol.81(8 Suppl.), pp.826-826
DOI: 10.1016/S0735-1097(23)01270-6
ISSN: 0735-1097
eISSN: 1558-3597
Publisher: Elsevier Inc
Language: English
Date published: 03/07/2023
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984375355802771

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